Evidence map›Paper›PMID 21361673›Full record

ArticleJournal of biomedical optics2011

Stent-induced coronary artery stenosis characterized by multimodal nonlinear optical microscopy.

Han-Wei Wang, Vlad Simianu, Mattew J Locker, Ji-Xin Cheng, Michael Sturek

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Han-Wei WangPurdue University, Weldon School of Biomedical Engineering, West Lafayette, Indiana 47907, USA.
Vlad Simianu
Mattew J Locker
Ji-Xin Cheng
Michael Sturek
Purdue University West Lafayette · USIndiana University · USIndiana University – Purdue University Indianapolis · US

Funding

PORCINE MODELS OF CORONARY ARTERY DISEASE IN DIABETESR24RR013223 · NCRR · UNIVERSITY OF MISSOURI-COLUMBIA · PI STUREK, MICHAEL · 1998 to 2007
$4.5M
EXERCISE, DIABETES, &CORONARY SMOOTH MUSCLE Ca2+R01HL062552 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI STUREK, MICHAEL · 1999 to 2013
$4.5M
Multimodal multiphoton imaging of nervous system ex vivo and in vivoR01EB007243 · NIBIB · PURDUE UNIVERSITY · PI CHENG, JI-XIN · 2007 to 2009
$950k
NCRR NIH HHS R24 RR013223NCRR NIH HHS RR013223NHLBI NIH HHS HL062552NHLBI NIH HHS R01 HL062552NIBIB NIH HHS R01 EB007243
6 · The paper itself

Abstract

We demonstrate for the first time the applicability of multimodal nonlinear optical (NLO) microscopy to the interrogation of stented coronary arteries under different diet and stent deployment conditions. Bare metal stents and Taxus drug-eluting stents (DES) were placed in coronary arteries of Ossabaw pigs of control and atherogenic diet groups. Multimodal NLO imaging was performed to inspect changes in arterial structures and compositions after stenting. Sum frequency generation, one of the multimodalities, was used for the quantitative analysis of collagen content in the peristent and in-stent artery segments of both pig groups. Atherogenic diet increased lipid and collagen in peristent segments. In-stent segments showed decreased collagen expression in neointima compared to media. Deployment of DES in atheromatous arteries inhibited collagen expression in the arterial media.

Indexed as

AnimalsBlood Vessel ProsthesisCoronary StenosisImage EnhancementMicroscopy, ConfocalNonlinear DynamicsStentsSwine

Identifiers

PMID21361673
PMCPMC3055586
OpenAlexW2120871406

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.